Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add byadsco/meta-ads-mcp --skill meta-ads-competitor-researchgit clone --depth 1 https://github.com/byadsco/meta-ads-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/byadsco/meta-ads-mcp/meta-ads-competitor-research)<a href="https://agentmods.dev/skills/byadsco/meta-ads-mcp/meta-ads-competitor-research"><img src="https://agentmods.dev/badge/skills/byadsco/meta-ads-mcp/meta-ads-competitor-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/byadsco/meta-ads-mcp/meta-ads-competitor-research"><img src="https://agentmods.dev/badge/skills/byadsco/meta-ads-mcp/meta-ads-competitor-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01319 |
| Opus 5 | $0.00000 | $0.00660 |
| Sonnet 5 | $0.00000 | $0.00264 |
| Haiku 4.5 | $0.00000 | $0.00132 |
Grade A, and why
meta-ads-competitor-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor research through the Ad Library
The ads_library_* tools read the public Meta Ad Library through an Apify actor. They need no Meta permissions and see no private data: only what Meta itself publishes about ads currently running.
They do spend the advertiser's money. Read the cost section before the first scrape.
What it costs
About 0.75 USD per 1,000 ads, billed to the tenant's own Apify account. A hard spend cap derived from count is sent with every run, so a scrape cannot bill beyond what was asked for.
Reading a dataset that already exists is free. That matters more than it sounds:
ads_library_list_runsfirst. A previous scrape of the same page or keyword is free to read again.- Only scrape when nothing suitable exists.
- Ask for the smallest
countthat answers the question. Twenty ads from one page usually settles "what are they running"; two thousand does not settle it better.
The tenant registers their own Apify token with ads_library_register_apify_token, or on the server's connections page. Without one, nothing here runs.
The sequence
ads_library_scrape— byquery(keyword) orurl(a Facebook page's Ad Library URL), never both. Returns arun_idand adataset_id.ads_library_get_run_status— poll until it succeeds. It reports what was charged.ads_library_get_results— page through the dataset. Each item is a compact projection: page, format, dates, amediasummary (image and video counts, whether it has video, when the CDN links expire) and its absoluteoffset.ads_library_get_ad_details— one ad in full. Pass theoffsetashint_offsetto skip the dataset scan.
Step 3 is where you decide what deserves step 4. Pulling details for every ad in a dataset is slow and pointless; the media summary exists so you can choose.
ads_library_abort_run stops a run that is taking too long or was started by mistake.
Reading a scraped ad
ads_library_get_ad_details returns a readable card, the images inline, the videos as posters, keyframes or links, and the normalized record as JSON.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed 777fc2ea4d8c
- 4d ago First seen · 73 lines · 0 tokens per session scan A 9d5af8c9ebe1
meta-ads-competitor-research is a skill published in the GitHub repository byadsco/meta-ads-mcp (16 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,319 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-18.
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